Long Trade on HNT

The 13 Apr 2025 at 08:21:29

With 90.0624 HNT at 3.843$ per unit.

Position size of 346.11 $

Take profit at 3.9762 (3.47 %) and Stop Loss at 3.7542 (2.31 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.19
Prediction Score:
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.05921816943
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 3.86582
  4. ema21 - 3.67511
  5. ema50 - 3.36619
  6. price_ema9_diff - -0.0062117
  7. ema9_ema21_diff - 0.0518932
  8. ema21_ema50_diff - 0.0917709
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.63462
  12. kc_percentage - 0.725491
  13. kc_width_percentage - 0.176582
  14. ¸
  15. 15m
  16. ema9 - 3.95635
  17. ema21 - 3.93061
  18. ema50 - 3.80371
  19. price_ema9_diff - -0.0288387
  20. ema9_ema21_diff - 0.00654927
  21. ema21_ema50_diff - 0.0333602
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.461277
  25. kc_percentage - 0.288491
  26. kc_width_percentage - 0.112666
  27. ¸
  28. 5m
  29. ema9 - 3.93276
  30. ema21 - 3.96981
  31. ema50 - 3.9504
  32. price_ema9_diff - -0.0226108
  33. ema9_ema21_diff - -0.00933288
  34. ema21_ema50_diff - 0.00491247
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.333218
  38. kc_percentage - -0.0424144
  39. kc_width_percentage - 0.0601869
  40. ¸

📌 Time Data

Start at Closed at Duration
13 Apr 2025
08:21:29
13 Apr 2025
10:20:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.843 3.7542 3.9762 1.5 1.833
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 3.843
  • Stop Loss: 3.7542
  • Take Profit: 3.9762

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.7542 - 3.843 = -0.0888

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.843 - 3.9762 = -0.1332

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.1332 / -0.0888 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
346.11 100 90.0624 3.46
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss -0.0888

Taille de position = 8 / -0.0888 = -90.09

Taille de position USD = -90.09 x 3.843 = -346.22

Donc, tu peux acheter -90.09 avec un stoploss a 3.7542

Avec un position size USD de -346.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -90.09 x -0.0888 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -90.09 x -0.1332 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -90.09
  • Taille de position USD -346.22
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.47 % 12 $
SL % Target SL $ Target
2.31 % 8 $
PNL PNL %
-8.02 $ -2.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.1485818371064 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.976
            [entry_price] => 3.843
            [stop_loss] => 3.7451
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-13 10:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.976
            [entry_price] => 3.843
            [stop_loss] => 3.7362
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-13 10:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.976
            [entry_price] => 3.843
            [stop_loss] => 3.7273
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-13 10:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.976
            [entry_price] => 3.843
            [stop_loss] => 3.7095
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-13 11:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.062
            [max_drawdown] => 0.121
            [rr_ratio] => 0.51
            [high] => 3.90500000
            [low] => 3.72200000
            [mfe_pct] => 1.61
            [mae_pct] => 3.15
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2025-04-13T08:21:29-04:00
            [end_at] => 2025-04-13T10:21:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.178
            [max_drawdown] => 0.136
            [rr_ratio] => 1.31
            [high] => 4.02100000
            [low] => 3.70700000
            [mfe_pct] => 4.63
            [mae_pct] => 3.54
            [mfe_mae_ratio] => 1.31
            [candles_analyzed] => 72
            [start_at] => 2025-04-13T08:21:29-04:00
            [end_at] => 2025-04-13T14:21:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.35000000
            [high_after] => 4.02100000
            [low_before] => 3.72300000
            [low_after] => 3.70700000
            [is_new_high] => 
            [is_new_low] => 
        )

)